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Bartolomeo Stellato is an Assistant Professor in the Department of Computer Science at Princeton University, where he is also affiliated with initiatives such as AI at Princeton and the Princeton Institute for Computational Science and Engineering. His research focuses on mathematical optimization, machine learning, and optimal control. Stellato is dedicated to developing data-driven computational tools that facilitate decision-making in highly dynamic and uncertain environments. He has made significant contributions to the field through publications in high-impact journals and has presented his work at various esteemed conferences. As an educator, he teaches undergraduate courses in optimization and supervises a vibrant group of graduate students and postdoctoral researchers, guiding innovative projects that explore novel optimization techniques and applications. He is a recognized leader in optimization research, recently honored with the 2025 ONR Young Investigator Award for his outstanding contributions and ongoing commitment to advancing knowledge in optimization and machine learning.
Princeton University • Princeton, NJ
Teaching courses in optimization and conducting research in mathematical optimization, machine learning, and optimal control.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.